High Performance, Low Cost Loran-C Cycle Identification and ECD Estimation
DOI: 10.23977/isspj.2017.21001 | Downloads: 77 | Views: 6050
Ali Kafaei Zad Tehrani 1, Ali Pourmohammad 1
1 Electrical engineering department, Amirkabir university of technology, Tehran, Iran
Corresponding AuthorAli Pourmohammad
A Loran-C system is a hyperbolic navigation system which works based on time difference of arrival (TDOA). Cycle identification is the task of finding time of arrival of the incoming signal. Finding time of arrival of the signal needs choosing a reference point which is defined to be the third zero crossing of the signal. ECD is the varied Loran-C signal’s envelope from the original pulse. Cycle identification and ECD estimation accuracies have considerable effects on the Loran-C system receivers’ localization accuracy and the error in cycle identification or ECD estimation has direct effect on each other so it is important to estimate the reference point and ECD as precise as possible. In this paper, algorithms for cycle identification and ECD estimation are proposed.Furthermore, this paper addresses the problem of the reference points existence between two samples and proposes two algorithms to estimate the reference points time of arrival between two samples which leads to reach high accuracy using low sampling frequency. The simulation results show that the proposed methods for cycle identification and ECD estimation are robust in noisy conditions and intersample cycle identification algorithms give accurate estimate of the reference points between two samples.
KEYWORDSCycle Identification, ECD Estimation, Intersample cycle identification, Loran-C.
CITE THIS PAPER
Ali Kafaei Zad Tehrani, Ali Pourmohammad. (2017) High Performance, Low Cost Loran-C Cycle Identification and ECD Estimation. Information Systems and Signal Processing Journal (2017) 2: 1-13.
 A.J. Fisher, "Loran-C cycle identification in hard-limiting receivers," in IEEE Transactions on Aerospace and Electronic Systems, vol. 36, no. 1, pp. 290-297, Jan 2000
 P. Williams, D. last, “Modelling Loran-C Envelope-to-Cycle Differences in Mountainous Terrain,” 32nd Annual Meeting, International Loran Association, 2003
 L. Tetley and D. Calcut, “Electronic aids to navigation,” Edward Arnold, London, 1986
 B.B. Peterson, K.M. Dewalt, “Analysis of Envelope-to-cycle Difference(ECD) in far field,” Proc. 21st Ann. Tech Symp., pp 89-95, Wild Goose Association, 1993
 S. Li and F. Huang, "Algorithm of Cycle-Identification for Loran-C Signal Based on DLL," Wireless Communications, Networking and Mobile Computing (WiCOM), 2012 8th International Conference on, Shanghai, China, pp. 1-3, 2012
 N. Kouguchi, M. Sato and N. Morinaga, "Measurement technique for Loran-C pulse wave distortion measures and performance in an environment of noise," Position Location and Navigation Symposium, 1992. Record. 500 Years After Columbus - Navigation Challenges of Tomorrow. IEEE PLANS '92., IEEE, Monterey, CA, pp. 82-87, 1992
 Kafaei Zad Tehrani, A. Pourmohammad, "Loran-C Cycle Identification and ECD Estimation in Presence of white Gaussian Noise” Application of information and communication (AICT) 2016 10th International Conference on, Baku, Azerbaijan, 2016
 Pourmohammad and S. M. Ahadi, "Real Time High Accuracy 3-D PHAT-Based Sound Source Localization Using a Simple 4-Microphone Arrangement," in IEEE Systems Journal, vol. 6, no. 3, pp. 455-468, Sept. 2012.
 Pourmohammad and S. M. Ahadi, "N-dimensional N-microphone sound source localization," EURASIP Journal on Audio, Speech, and Music Processing (Springer), 2013
 Yuan Yu, and Wang Gang, "Research on technology of spread spectrum code acquisition based on digital matched filter," Radio Communication Technology, vol. 39, pp. 86-89, 2013.
 Y. Gao, Y. Hua, S. Li and C. Yang, "Acquisition method of Loran-C signal based on matched filter," 2015 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Ningbo, 2015, pp. 1-5.